Dynamic Management of Interference and Coverage in Wireless Communications
US-2019200363-A1 · Jun 27, 2019 · US
US10645604B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10645604-B2 |
| Application number | US-201815997496-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 4, 2018 |
| Priority date | Jun 4, 2018 |
| Publication date | May 5, 2020 |
| Grant date | May 5, 2020 |
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A device may receive cell property data associated with a cell in a mobile network and performance data associated with the cell. The device may determine whether the performance data associated with the cell satisfies a performance threshold. The device may identify, based on determining that the performance data associated with the cell satisfies the performance threshold, one or more impacted cells, in the mobile network, associated with the cell. The device may determine one or more antenna adjustment parameters based on at least the cell property data associated with the cell, the performance data associated with the cell, and performance data associated with the one or more impacted cells. The device may perform, based on the one or more antenna adjustment parameters, an action in connection with at least one of an antenna associated with the cell or another antenna associated with the one or more impacted cells.
Opening claim text (preview).
What is claimed is: 1. A device, comprising: one or more memories; and one or more processors, communicatively coupled to the one or more memories, to: receive cell property data associated with a cell in a mobile network; receive performance data associated with the cell, wherein the performance data associated with the cell includes a plurality of reference signal received power (RSRP) measurements for the cell; determine whether the performance data associated with the cell satisfies a performance threshold, wherein the performance threshold is a coverage threshold, wherein the coverage threshold is a percentage of the plurality of RSRP measurements for the cell satisfying a weak coverage threshold, and wherein the one or more processors, when determining whether the performance data associated with the cell satisfies the coverage threshold, are to: identify one or more RSRP measurements, of the plurality of RSRP measurements, that satisfy the weak coverage threshold, and determine whether the one or more RSRP measurements satisfy the coverage threshold; identify, based on determining that the performance data associated with the cell satisfies the performance threshold, one or more impacted cells, in the mobile network, associated with the cell; determine one or more antenna adjustment parameters based on at least the cell property data associated with the cell, the performance data associated with the cell, and performance data associated with the one or more impacted cells; and perform, based on the one or more antenna adjustment parameters, an action in connection with at least one of: an antenna associated with the cell, or another antenna associated with the one or more impacted cells. 2. The device of claim 1 , wherein the cell property data includes at least one of: information identifying an azimuth angle of the antenna, information identifying a down tilt angle of the antenna, information identifying a transmit power of the antenna, or information identifying a latitude and a longitude of the antenna. 3. The device of claim 1 , wherein the performance data associated with the cell includes at least one of: test data including a first plurality of reference signal received power (RSRP) measurements and information identifying a latitude and a longitude associated with the first plurality of RSRP measurements, user equipment data including a second plurality of RSRP measurements and information identifying another latitude and another longitude associated with the second plurality of RSRP measurements, or cell performance data including cell handover data and traffic density data. 4. The device of claim 1 , wherein the one or more processors, when determining the one or more antenna adjustment parameters, are to: determine the one or more antenna adjustment parameters based on one or more physical constraints of the antenna, wherein the one or more physical constraints include: a minimum and a maximum azimuth angle of the antenna, and a minimum and a maximum down tilt angle of the antenna. 5. The device of claim 1 , wherein the one or more processors, when performing the action in connection with at least one of the antenna associated with the cell or the other antenna associated with the one or more impacted cells, are to: provide, for display on a graphical user interface associated with the device, the one or more antenna adjustment parameters; automatically adjust, based on the one or more antenna adjustment parameters, one or more electrical parameters associated with the antenna associated with the cell; or automatically adjust, based on the one or more antenna adjustment parameters, one or more mechanical parameters associated with the antenna associated with the cell. 6. The device of claim 1 , wherein the one or more processors, when determining the one or more antenna adjustment parameters, are to: apply a loss function to the performance data associated with the cell, the performance data associated with the one or more impacted cells, and a plurality of candidate antenna adjustment parameters; and determine the one or more antenna adjustment parameters, from the plurality of candidate antenna adjustment parameters, based on the one or more antenna adjustment parameters minimizing the loss function. 7. The device of claim 6 , wherein the one or more processors, when determining the one or more antenna adjustment parameters, are to: determine that the one or more antenna adjustment parameters minimize the loss function by iterating through the plurality of candidate antenna adjustment parameters in the loss function using at least one of: a Brodyne-Fletcher-Goldfarb-Shanno (BFGS) algorithm, a limited-memory BFGS (L-BFGS) algorithm, a L-BFGS with boundary (L-BFGS-B) algorithm, or a sequential unconstrained minimization technique (SUMT) algorithm. 8. The device of claim 1 , wherein the one or more impacted cells include a neighboring cell that is adjacent to the cell. 9. A method, comprising: receiving, at a device, cell property data associated with a cell in a mobile network; receiving, at the device, performance data associated with the cell; determining, by the device, whether the performance data associated with the cell satisfies a performance threshold; identifying, by the device and based on determining that the performance data associated with the cell satisfies the performance threshold, one or more impacted cells, in the mobile network, associated with the cell, wherein the one or more impacted cells are further identified based on the performance data associated with the cell and performance data associated with the one or more impacted cells, and wherein the one or more impacted cells are further identified based on a respective impact factor for each impacted cell of the one or more impacted cells, wherein the respective impact factor for each impacted cell is determined based on: a neighbor closeness rate between the impacted cell and the cell, a quantity of handovers between the impacted cell and the cell, and physical resource block utilization of the impacted cell; determining, by the device, one or more antenna adjustment parameters based on at least the cell property data associated with the cell, the performance data associated with the cell, and the performance data associated with the one or more impacted cells; and perform, by the device and based on the one or more antenna adjustment parameters, an action in connection with at least one of: an antenna associated with the cell, or another antenna associated with the one or more impacted cells. 10. The method of claim 9 , wherein identifying the one or more impacted cells in the mobile network comprises: determining a respective impact factor for each candidate cell of a plurality of candidate cells in the mobile network; determining one or more candidate cells, of the plurality of candidate cells, having respective impact factors that satisfy an impact factor threshold; and identifying, as the one or more impacted cells, the one or more candidate cells having respective impact factors that satisfy the impact factor threshold. 11. The method of claim 9 , further comprising: grouping the cell and the one or more impacted cells into a first problem cell group; identifying, in the mobile network, another cell and one or more other impacted cells associated with the other cell; grouping the other cell and the one or more other impacted cells into a second problem cell group; and grouping the first problem cell group and the second problem cell group into a problem cell super group, wherein determining the
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